Product Manager [Multiple Positions Available]

JPMorgan Chase & Co.•Jersey City, NJ

4d•$178,000 - $215,000•Onsite

About The Position

Responsible for end-to-end analysis, design, and execution of project deliverables, including new initiatives, enhancements to existing logic data products, visualizations, and tool support for financial data workflows. Defines technology strategy and product and platform vision, and collaborates cross-functionally with stakeholders to align technology strategy. Leads functional review sessions with engineering, business, and operations partners to clarify requirements and ensure products meet expected results. Drives innovative solutions, develops or enhances platform components, and improves overall platform performance. Provides technical platform, business, and user support; identifies automation opportunities and recurring issues to improve operational stability. Simplifies logic to streamline analytics, data workflows, and implementation of financial and profitability metrics across revenue, expenses, and capital. Develops and enhances financial data models to assess downstream cross-impact and improve business decision-making. The position also involves acquiring and governing financial, operational, and reference data; establishing data quality, lineage, schemas, security, and handling standards across Oracle and AWS; supporting reporting and analytics across business domains; and contributing to liquidity risk, resolution liquidity analysis, financial calculations, dashboards, and profitability platforms. The role is based at 545 Washington Boulevard, Jersey City, New Jersey. It is a full-time position with a stated annual salary range of $178,000 to $215,000. JPMorganChase describes a competitive total rewards package and benefits, subject to role eligibility.

Requirements

Bachelor's degree in Mechanical Engineering, Computer Engineering, Computer Information Systems, Financial Engineering, or a related field.
Five years of experience in the job offered or as a Product Manager, Product Owner, Project Manager, Software Engineer, Business Analyst, or related occupation.
Five years of experience acquiring and managing financial, operational, and reference data, including data quality, lineage, enrichment, validation, cleansing, integrity rules, schema conformance, duplicate resolution, survivorship, and anomaly detection.
Five years of experience designing and standardizing canonical data models and physical schemas across Oracle and AWS platforms, including enterprise standards and cloud data classification and handling policies.
Five years of experience collaborating with Information Security and Compliance partners on security and data standards for cloud-hosted data.
Five years of experience supporting Profit & Loss and client management reporting and analytics across business domains, including dimensional model harmonization and currency conversion and restatement policies.
Five years of experience supporting liquidity risk management, stress testing, scenario and assumption modeling, and resolution liquidity analysis reports such as RLEN and RLAP.
Five years of experience analyzing transaction, position, and balance data for liquidity calculations, collateral, netting and offsets, break identification, and reconciliations.
Five years of experience developing project strategy, direction, scope, and priorities.
Five years of experience developing dashboards and reports in IBM Cognos and Tableau using dimensional warehousing concepts such as star schema and SCD Type 2, and query optimization.
Five years of experience designing and maintaining calculation engines for financial aggregations and transformations, including accruals, allocations, FTP, and RWA attribution.
Five years of experience designing rule-based platforms that calculate profitability metrics, including Return on Equity and Shareholder Value Added, with transparent lineage and controls.

Responsibilities

Analyze, design, and execute project deliverables for financial data workflows, including new initiatives, product enhancements, visualizations, and tool support.
Define product and platform technology strategy and vision, aligning them with stakeholders and cross-functional partners.
Lead functional review sessions with engineering, business, and operations teams to clarify requirements and ensure expected outcomes.
Introduce innovative solutions, develop or enhance platform components, and improve platform performance.
Provide technical platform, business, and user support.
Identify opportunities to automate manual work and remediate recurring issues to improve operational stability.
Simplify logic and streamline analytics, data workflows, and implementation of financial and profitability metrics across revenue, expenses, and capital.
Develop and enhance financial data models to analyze downstream cross-impact and improve business decision-making.
Acquire and manage financial, operational, and reference data from upstream systems, strengthening accuracy, completeness, lineage, and downstream data quality.
Design and standardize canonical data models and physical schemas across Oracle and AWS platforms, including enterprise naming, partitioning, clustering, sort keys, metadata, and data handling policies.
Collaborate with Information Security and Compliance partners to enforce cloud data security and standards.
Support consistent Profit & Loss and client management reporting and analytics across business domains by harmonizing dimensional models and conversion and restatement logic.
Support liquidity risk management, stress testing, scenario and assumption modeling, and resolution liquidity analysis reporting, including RLEN and RLAP.
Analyze transaction, position, and balance data for liquidity calculations, collateral, netting and offsets, breaks, and reconciliations to ledger and regulatory reports.
Develop project strategy, direction, scope, and priorities.
Develop scalable dashboards and reports in IBM Cognos and Tableau using dimensional warehousing concepts and query optimization.
Design and maintain scalable calculation engines for financial aggregations and transformations, including accruals, allocations, FTP, and RWA attribution, ensuring determinism, auditability, and performance.
Design rule-based platforms for profitability metrics such as Return on Equity and Shareholder Value Added, using revenue, expense, capital allocation, and risk-weighted asset methodologies with transparent lineage and controls.